Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	3720
Missing cells	6802
Missing cells (%)	7.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.4 MiB
Average record size in memory	675.3 B

Variable types

Categorical	13
Numeric	11

Alerts

`society` has a high cardinality: 682 distinct values	High cardinality
`sector` has a high cardinality: 107 distinct values	High cardinality
`areaWithType` has a high cardinality: 2375 distinct values	High cardinality
`price_cr` is highly overall correlated with `price_per_sqft` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price_cr`	High correlation
`area` is highly overall correlated with `price_cr` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `price_cr` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price_cr` and 4 other fields	High correlation
`super_built_up_area` is highly overall correlated with `price_cr` and 7 other fields	High correlation
`built_up_area` is highly overall correlated with `price_cr` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `price_cr` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price_cr` and 2 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`servant room` is highly overall correlated with `super_built_up_area`	High correlation
`store room` is highly imbalanced (55.5%)	Imbalance
`facing` has 1061 (28.5%) missing values	Missing
`super_built_up_area` has 1844 (49.6%) missing values	Missing
`built_up_area` has 1995 (53.6%) missing values	Missing
`carpet_area` has 1833 (49.3%) missing values	Missing
`area` is highly skewed (γ1 = 29.89518153)	Skewed
`built_up_area` is highly skewed (γ1 = 41.04521156)	Skewed
`carpet_area` is highly skewed (γ1 = 24.43032572)	Skewed
`floorNum` has 130 (3.5%) zeros	Zeros
`luxury_score` has 476 (12.8%) zeros	Zeros
`nearbyLoc_score` has 199 (5.3%) zeros	Zeros

Reproduction

Analysis started	2023-09-22 06:40:36.633717
Analysis finished	2023-09-22 06:41:02.981365
Duration	26.35 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	251.5 KiB

flat	2833
house	887

Length

Max length	5
Median length	4
Mean length	4.2384409
Min length	4

Characters and Unicode

Total characters	15767
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2833	76.2%
house	887	23.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2833	76.2%
house	887	23.8%

Most occurring characters

Value	Count	Frequency (%)
f	2833	18.0%
l	2833	18.0%
a	2833	18.0%
t	2833	18.0%
h	887	5.6%
o	887	5.6%
u	887	5.6%
s	887	5.6%
e	887	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15767	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2833	18.0%
l	2833	18.0%
a	2833	18.0%
t	2833	18.0%
h	887	5.6%
o	887	5.6%
u	887	5.6%
s	887	5.6%
e	887	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15767	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2833	18.0%
l	2833	18.0%
a	2833	18.0%
t	2833	18.0%
h	887	5.6%
o	887	5.6%
u	887	5.6%
s	887	5.6%
e	887	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15767	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2833	18.0%
l	2833	18.0%
a	2833	18.0%
t	2833	18.0%
h	887	5.6%
o	887	5.6%
u	887	5.6%
s	887	5.6%
e	887	5.6%

society
Categorical

Distinct	682
Distinct (%)	18.3%
Missing	1
Missing (%)	< 0.1%
Memory size	297.3 KiB

independent	512
tulip violet	75
ss the leaf	73
shapoorji pallonji joyville gurugram	42
dlf new town heights	42
Other values (677)	2975

Length

Max length	49
Median length	40
Mean length	16.840549
Min length	1

Characters and Unicode

Total characters	62630
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	310 ?
Unique (%)	8.3%

Sample

1st row	experion the heartsong
2nd row	tulip violet
3rd row	shree vardhman victoria
4th row	sare green parc phase 3
5th row	mvn athens

Common Values

Value	Count	Frequency (%)
independent	512	13.8%
tulip violet	75	2.0%
ss the leaf	73	2.0%
shapoorji pallonji joyville gurugram	42	1.1%
dlf new town heights	42	1.1%
signature global park	35	0.9%
shree vardhman victoria	34	0.9%
smart world orchard	33	0.9%
emaar mgf emerald floors premier	32	0.9%
dlf the ultima	31	0.8%
Other values (672)	2810	75.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	517	5.3%
the	349	3.6%
dlf	220	2.3%
park	211	2.2%
city	166	1.7%
emaar	155	1.6%
m3m	152	1.6%
global	152	1.6%
signature	149	1.5%
heights	134	1.4%
Other values (785)	7545	77.4%

Most occurring characters

Value	Count	Frequency (%)
e	6821	10.9%
	6033	9.6%
a	5898	9.4%
n	4260	6.8%
r	4203	6.7%
i	3870	6.2%
t	3762	6.0%
s	3496	5.6%
l	2955	4.7%
o	2768	4.4%
Other values (31)	18564	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56045	89.5%
Space Separator	6033	9.6%
Decimal Number	531	0.8%
Other Punctuation	12	< 0.1%
Dash Punctuation	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6821	12.2%
a	5898	10.5%
n	4260	7.6%
r	4203	7.5%
i	3870	6.9%
t	3762	6.7%
s	3496	6.2%
l	2955	5.3%
o	2768	4.9%
d	2547	4.5%
Other values (16)	15465	27.6%

Decimal Number

Value	Count	Frequency (%)
3	207	39.0%
2	81	15.3%
1	77	14.5%
6	56	10.5%
8	32	6.0%
4	19	3.6%
5	17	3.2%
7	15	2.8%
9	14	2.6%
0	13	2.4%

Other Punctuation

Value	Count	Frequency (%)
,	9	75.0%
/	2	16.7%
.	1	8.3%

Space Separator

Value	Count	Frequency (%)
	6033	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56045	89.5%
Common	6585	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6821	12.2%
a	5898	10.5%
n	4260	7.6%
r	4203	7.5%
i	3870	6.9%
t	3762	6.7%
s	3496	6.2%
l	2955	5.3%
o	2768	4.9%
d	2547	4.5%
Other values (16)	15465	27.6%

Common

Value	Count	Frequency (%)
	6033	91.6%
3	207	3.1%
2	81	1.2%
1	77	1.2%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
7	15	0.2%
9	14	0.2%
Other values (5)	34	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6821	10.9%
	6033	9.6%
a	5898	9.4%
n	4260	6.8%
r	4203	6.7%
i	3870	6.2%
t	3762	6.0%
s	3496	5.6%
l	2955	4.7%
o	2768	4.4%
Other values (31)	18564	29.6%

sector
Categorical

Distinct	107
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	269.6 KiB

sohna road	168
sector 85	108
sector 102	107
sector 92	100
sector 69	93
Other values (102)	3144

Length

Max length	10
Median length	9
Mean length	9.2067204
Min length	8

Characters and Unicode

Total characters	34249
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 108
2nd row	sector 69
3rd row	sector 70
4th row	sector 92
5th row	sohna road

Common Values

Value	Count	Frequency (%)
sohna road	168	4.5%
sector 85	108	2.9%
sector 102	107	2.9%
sector 92	100	2.7%
sector 69	93	2.5%
sector 90	89	2.4%
sector 65	87	2.3%
sector 81	87	2.3%
sector 109	86	2.3%
sector 79	77	2.1%
Other values (97)	2718	73.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3552	47.7%
sohna	168	2.3%
road	168	2.3%
85	108	1.5%
102	107	1.4%
92	100	1.3%
69	93	1.2%
90	89	1.2%
65	87	1.2%
81	87	1.2%
Other values (99)	2881	38.7%

Most occurring characters

Value	Count	Frequency (%)
o	3888	11.4%
s	3720	10.9%
r	3720	10.9%
	3720	10.9%
c	3603	10.5%
e	3552	10.4%
t	3552	10.4%
1	1125	3.3%
0	808	2.4%
8	782	2.3%
Other values (11)	5779	16.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23128	67.5%
Decimal Number	7401	21.6%
Space Separator	3720	10.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3888	16.8%
s	3720	16.1%
r	3720	16.1%
c	3603	15.6%
e	3552	15.4%
t	3552	15.4%
a	526	2.3%
d	231	1.0%
n	168	0.7%
h	168	0.7%

Decimal Number

Value	Count	Frequency (%)
1	1125	15.2%
0	808	10.9%
8	782	10.6%
9	765	10.3%
6	749	10.1%
7	691	9.3%
2	688	9.3%
3	669	9.0%
5	621	8.4%
4	503	6.8%

Space Separator

Value	Count	Frequency (%)
	3720	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23128	67.5%
Common	11121	32.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
	3720	33.5%
1	1125	10.1%
0	808	7.3%
8	782	7.0%
9	765	6.9%
6	749	6.7%
7	691	6.2%
2	688	6.2%
3	669	6.0%
5	621	5.6%

Latin

Value	Count	Frequency (%)
o	3888	16.8%
s	3720	16.1%
r	3720	16.1%
c	3603	15.6%
e	3552	15.4%
t	3552	15.4%
a	526	2.3%
d	231	1.0%
n	168	0.7%
h	168	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34249	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3888	11.4%
s	3720	10.9%
r	3720	10.9%
	3720	10.9%
c	3603	10.5%
e	3552	10.4%
t	3552	10.4%
1	1125	3.3%
0	808	2.4%
8	782	2.3%
Other values (11)	5779	16.9%

price_cr
Real number (ℝ)

Distinct	474
Distinct (%)	12.8%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2.5302997

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9730588
Coefficient of variation (CV)	1.1749829
Kurtosis	14.932686
Mean	2.5302997
Median Absolute Deviation (MAD)	0.73
Skewness	3.2746171
Sum	9372.23
Variance	8.8390784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	65	1.7%
1.2	64	1.7%
0.9	64	1.7%
1.1	62	1.7%
1.4	61	1.6%
1.3	58	1.6%
0.95	55	1.5%
2	53	1.4%
1.75	48	1.3%
Other values (464)	3094	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	9	0.2%
0.23	2	0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2671
Distinct (%)	72.1%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	13954.85

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	4
5-th percentile	4705.15
Q1	6812.75
median	9023
Q3	13889
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7076.25

Descriptive statistics

Standard deviation	23300.036
Coefficient of variation (CV)	1.669673
Kurtosis	182.12387
Mean	13954.85
Median Absolute Deviation (MAD)	2805
Skewness	11.253883
Sum	51688765
Variance	5.428917 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	20	0.5%
5000	18	0.5%
22222	14	0.4%
11111	14	0.4%
12500	14	0.4%
6666	13	0.3%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2661)	3549	95.4%
(Missing)	16	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1325
Distinct (%)	35.8%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2879.2171

Minimum	45
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	45
5-th percentile	510.6
Q1	1223
median	1728
Q3	2300
95-th percentile	4249.4
Maximum	875000
Range	874955
Interquartile range (IQR)	1077

Descriptive statistics

Standard deviation	23033.372
Coefficient of variation (CV)	7.9998734
Kurtosis	952.77155
Mean	2879.2171
Median Absolute Deviation (MAD)	530
Skewness	29.895182
Sum	10664620
Variance	5.3053623 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	49	1.3%
1800	47	1.3%
3240	45	1.2%
1950	43	1.2%
900	42	1.1%
2700	39	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1315)	3304	88.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45	1	< 0.1%
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

Distinct	2375
Distinct (%)	63.8%
Missing	0
Missing (%)	0.0%
Memory size	432.5 KiB

Plot area 360(301.01 sq.m.)	38
Plot area 300(250.84 sq.m.)	26
Plot area 200(167.23 sq.m.)	19
Plot area 502(419.74 sq.m.)	19
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17
Other values (2370)	3601

Length

Max length	124
Median length	119
Mean length	54.050806
Min length	12

Characters and Unicode

Total characters	201069
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1866 ?
Unique (%)	50.2%

Sample

1st row	Super Built up area 2779(258.18 sq.m.)Built Up area: 2204.25 sq.ft. (204.78 sq.m.)Carpet area: 1631.07 sq.ft. (151.53 sq.m.)
2nd row	Super Built up area 1578(146.6 sq.m.)Carpet area: 1538 sq.ft. (142.88 sq.m.)
3rd row	Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)
4th row	Super Built up area 1956(181.72 sq.m.)
5th row	Built Up area: 481 (44.69 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	38	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 502(419.74 sq.m.)	19	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Plot area 270(225.75 sq.m.)	17	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Plot area 900(83.61 sq.m.)	16	0.4%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Plot area 150(125.42 sq.m.)	14	0.4%
Other values (2365)	3522	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5626	18.5%
sq.m	3698	12.2%
up	3034	10.0%
built	2328	7.7%
super	1876	6.2%
sq.ft	1757	5.8%
sq.m.)carpet	1193	3.9%
plot	705	2.3%
sq.m.)built	704	2.3%
carpet	690	2.3%
Other values (2865)	8785	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26676	13.3%
.	20565	10.2%
a	13279	6.6%
r	9529	4.7%
e	9389	4.7%
1	9273	4.6%
s	7634	3.8%
q	7494	3.7%
t	7383	3.7%
p	6797	3.4%
Other values (25)	83050	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83403	41.5%
Decimal Number	47544	23.6%
Space Separator	26676	13.3%
Other Punctuation	23610	11.7%
Uppercase Letter	8660	4.3%
Close Punctuation	5588	2.8%
Open Punctuation	5588	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13279	15.9%
r	9529	11.4%
e	9389	11.3%
s	7634	9.2%
q	7494	9.0%
t	7383	8.9%
p	6797	8.1%
u	6786	8.1%
m	5597	6.7%
l	3739	4.5%
Other values (5)	5776	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9273	19.5%
0	6700	14.1%
2	5722	12.0%
5	4753	10.0%
3	4002	8.4%
4	3757	7.9%
6	3709	7.8%
7	3278	6.9%
8	3184	6.7%
9	3166	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3034	35.0%
C	1887	21.8%
S	1876	21.7%
U	1158	13.4%
P	705	8.1%

Other Punctuation

Value	Count	Frequency (%)
.	20565	87.1%
:	3045	12.9%

Space Separator

Value	Count	Frequency (%)
	26676	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5588	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5588	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109006	54.2%
Latin	92063	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13279	14.4%
r	9529	10.4%
e	9389	10.2%
s	7634	8.3%
q	7494	8.1%
t	7383	8.0%
p	6797	7.4%
u	6786	7.4%
m	5597	6.1%
l	3739	4.1%
Other values (10)	14436	15.7%

Common

Value	Count	Frequency (%)
	26676	24.5%
.	20565	18.9%
1	9273	8.5%
0	6700	6.1%
2	5722	5.2%
)	5588	5.1%
(	5588	5.1%
5	4753	4.4%
3	4002	3.7%
4	3757	3.4%
Other values (5)	16382	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26676	13.3%
.	20565	10.2%
a	13279	6.6%
r	9529	4.7%
e	9389	4.7%
1	9273	4.6%
s	7634	3.8%
q	7494	3.7%
t	7383	3.7%
p	6797	3.4%
Other values (25)	83050	41.3%

bedRoom
Real number (ℝ)

Distinct	20
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.369086

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.968032
Coefficient of variation (CV)	0.58414419
Kurtosis	35.436854
Mean	3.369086
Median Absolute Deviation (MAD)	1
Skewness	4.3057819
Sum	12533
Variance	3.87315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	1507	40.5%
2	951	25.6%
4	670	18.0%
5	213	5.7%
1	128	3.4%
6	78	2.1%
9	41	1.1%
8	31	0.8%
7	28	0.8%
12	28	0.8%
Other values (10)	45	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	128	3.4%
2	951	25.6%
3	1507	40.5%
4	670	18.0%
5	213	5.7%
6	78	2.1%
7	28	0.8%
8	31	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
36	1	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%

bathroom
Real number (ℝ)

Distinct	20
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4284946

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0161341
Coefficient of variation (CV)	0.5880523
Kurtosis	33.035775
Mean	3.4284946
Median Absolute Deviation (MAD)	1
Skewness	4.0274709
Sum	12754
Variance	4.0647969
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	1086	29.2%
2	1061	28.5%
4	830	22.3%
5	295	7.9%
1	161	4.3%
6	118	3.2%
7	41	1.1%
9	41	1.1%
8	26	0.7%
12	22	0.6%
Other values (10)	39	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	161	4.3%
2	1061	28.5%
3	1086	29.2%
4	830	22.3%
5	295	7.9%
6	118	3.2%
7	41	1.1%
8	26	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
36	1	< 0.1%
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.9 KiB

3+	1178
3	1078
2	902
1	378
0	184

Length

Max length	2
Median length	1
Mean length	1.3166667
Min length	1

Characters and Unicode

Total characters	4898
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	1
3rd row	3
4th row	3
5th row	0

Common Values

Value	Count	Frequency (%)
3+	1178	31.7%
3	1078	29.0%
2	902	24.2%
1	378	10.2%
0	184	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2256	60.6%
2	902	24.2%
1	378	10.2%
0	184	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2256	46.1%
+	1178	24.1%
2	902	18.4%
1	378	7.7%
0	184	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	75.9%
Math Symbol	1178	24.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2256	60.6%
2	902	24.2%
1	378	10.2%
0	184	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1178	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4898	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2256	46.1%
+	1178	24.1%
2	902	18.4%
1	378	7.7%
0	184	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4898	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2256	46.1%
+	1178	24.1%
2	902	18.4%
1	378	7.7%
0	184	3.8%

floorNum
Real number (ℝ)

Distinct	43
Distinct (%)	1.2%
Missing	20
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7486486

Minimum	0
Maximum	51
Zeros	130
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0063552
Coefficient of variation (CV)	0.89000858
Kurtosis	4.5362872
Mean	6.7486486
Median Absolute Deviation (MAD)	3
Skewness	1.7029404
Sum	24970
Variance	36.076303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	507	13.6%
2	505	13.6%
1	367	9.9%
4	319	8.6%
8	196	5.3%
6	182	4.9%
10	179	4.8%
7	178	4.8%
5	168	4.5%
9	161	4.3%
Other values (33)	938	25.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130	3.5%
1	367	9.9%
2	505	13.6%
3	507	13.6%
4	319	8.6%
5	168	4.5%
6	182	4.9%
7	178	4.8%
8	196	5.3%
9	161	4.3%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1061
Missing (%)	28.5%
Memory size	228.0 KiB

North-East	631
East	630
North	394
West	250
South	232
Other values (3)	522

Length

Max length	10
Median length	5
Mean length	6.8371568
Min length	4

Characters and Unicode

Total characters	18180
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South-West
2nd row	East
3rd row	North
4th row	North
5th row	North

Common Values

Value	Count	Frequency (%)
North-East	631	17.0%
East	630	16.9%
North	394	10.6%
West	250	6.7%
South	232	6.2%
North-West	194	5.2%
South-East	174	4.7%
South-West	154	4.1%
(Missing)	1061	28.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	631	23.7%
east	630	23.7%
north	394	14.8%
west	250	9.4%
south	232	8.7%
north-west	194	7.3%
south-east	174	6.5%
south-west	154	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3812	21.0%
s	2033	11.2%
o	1779	9.8%
h	1779	9.8%
E	1435	7.9%
a	1435	7.9%
N	1219	6.7%
r	1219	6.7%
-	1153	6.3%
W	598	3.3%
Other values (3)	1718	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13215	72.7%
Uppercase Letter	3812	21.0%
Dash Punctuation	1153	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3812	28.8%
s	2033	15.4%
o	1779	13.5%
h	1779	13.5%
a	1435	10.9%
r	1219	9.2%
e	598	4.5%
u	560	4.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1435	37.6%
N	1219	32.0%
W	598	15.7%
S	560	14.7%

Dash Punctuation

Value	Count	Frequency (%)
-	1153	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17027	93.7%
Common	1153	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3812	22.4%
s	2033	11.9%
o	1779	10.4%
h	1779	10.4%
E	1435	8.4%
a	1435	8.4%
N	1219	7.2%
r	1219	7.2%
W	598	3.5%
e	598	3.5%
Other values (2)	1120	6.6%

Common

Value	Count	Frequency (%)
-	1153	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18180	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3812	21.0%
s	2033	11.2%
o	1779	9.8%
h	1779	9.8%
E	1435	7.9%
a	1435	7.9%
N	1219	6.7%
r	1219	6.7%
-	1153	6.3%
W	598	3.3%
Other values (3)	1718	9.4%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	284.7 KiB

Relatively New	1653
New Property	596
Moderately Old	572
Undefined	319
Old Property	315

Length

Max length	18
Median length	14
Mean length	13.366398
Min length	9

Characters and Unicode

Total characters	49723
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Relatively New
3rd row	Relatively New
4th row	Moderately Old
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1653	44.4%
New Property	596	16.0%
Moderately Old	572	15.4%
Undefined	319	8.6%
Old Property	315	8.5%
Under Construction	265	7.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2249	31.6%
relatively	1653	23.2%
property	911	12.8%
old	887	12.5%
moderately	572	8.0%
undefined	319	4.5%
under	265	3.7%
construction	265	3.7%

Most occurring characters

Value	Count	Frequency (%)
e	8513	17.1%
l	4765	9.6%
t	3666	7.4%
	3401	6.8%
y	3136	6.3%
r	2924	5.9%
d	2362	4.8%
N	2249	4.5%
w	2249	4.5%
i	2237	4.5%
Other values (15)	14221	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39201	78.8%
Uppercase Letter	7121	14.3%
Space Separator	3401	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8513	21.7%
l	4765	12.2%
t	3666	9.4%
y	3136	8.0%
r	2924	7.5%
d	2362	6.0%
w	2249	5.7%
i	2237	5.7%
a	2225	5.7%
o	2013	5.1%
Other values (7)	5111	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2249	31.6%
R	1653	23.2%
P	911	12.8%
O	887	12.5%
U	584	8.2%
M	572	8.0%
C	265	3.7%

Space Separator

Value	Count	Frequency (%)
	3401	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46322	93.2%
Common	3401	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8513	18.4%
l	4765	10.3%
t	3666	7.9%
y	3136	6.8%
r	2924	6.3%
d	2362	5.1%
N	2249	4.9%
w	2249	4.9%
i	2237	4.8%
a	2225	4.8%
Other values (14)	11996	25.9%

Common

Value	Count	Frequency (%)
	3401	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49723	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8513	17.1%
l	4765	9.6%
t	3666	7.4%
	3401	6.8%
y	3136	6.3%
r	2924	5.9%
d	2362	4.8%
N	2249	4.5%
w	2249	4.5%
i	2237	4.5%
Other values (15)	14221	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	594
Distinct (%)	31.7%
Missing	1844
Missing (%)	49.6%
Infinite	0
Infinite (%)	0.0%
Mean	1923.7029

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	89
5-th percentile	748.75
Q1	1474.25
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	740.75

Descriptive statistics

Standard deviation	765.37637
Coefficient of variation (CV)	0.39786622
Kurtosis	10.28315
Mean	1923.7029
Median Absolute Deviation (MAD)	372
Skewness	1.8266761
Sum	3608866.5
Variance	585800.99
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
2150	22	0.6%
1640	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (584)	1635	44.0%
(Missing)	1844	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	653
Distinct (%)	37.9%
Missing	1995
Missing (%)	53.6%
Infinite	0
Infinite (%)	0.0%
Mean	2407.8

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	2
5-th percentile	260.2
Q1	1115
median	1660
Q3	2430
95-th percentile	4756
Maximum	737147
Range	737145
Interquartile range (IQR)	1315

Descriptive statistics

Standard deviation	17770.858
Coefficient of variation (CV)	7.3805375
Kurtosis	1697.8762
Mean	2407.8
Median Absolute Deviation (MAD)	640
Skewness	41.045212
Sum	4153454.9
Variance	3.1580339 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	38	1.0%
1350	34	0.9%
1900	34	0.9%
2700	33	0.9%
900	32	0.9%
1600	26	0.7%
1300	24	0.6%
2000	24	0.6%
1700	23	0.6%
Other values (643)	1416	38.1%
(Missing)	1995	53.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
45	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	4	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
26000	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	9	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	734
Distinct (%)	38.9%
Missing	1833
Missing (%)	49.3%
Infinite	0
Infinite (%)	0.0%
Mean	2518.1706

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	832.48
median	1300
Q3	1787.5
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	955.02

Descriptive statistics

Standard deviation	22709.454
Coefficient of variation (CV)	9.0182351
Kurtosis	609.38997
Mean	2518.1706
Median Absolute Deviation (MAD)	476
Skewness	24.430326
Sum	4751787.9
Variance	5.1571931 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	0.9%
1600	35	0.9%
1200	31	0.8%
1500	29	0.8%
1350	28	0.8%
1650	28	0.8%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (724)	1592	42.8%
(Missing)	1833	49.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	3009
1	711

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

Most occurring characters

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3009	80.9%
1	711	19.1%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	2383
1	1337

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

Most occurring characters

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2383	64.1%
1	1337	35.9%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	3376
1	344

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3376	90.8%
1	344	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	3055
1	665

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

Most occurring characters

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3055	82.1%
1	665	17.9%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	3309
1	411

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3309	89.0%
1	411	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.8 KiB

0	2444
2	1070
1	206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3720
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2444	65.7%
2	1070	28.8%
1	206	5.5%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.978495

Minimum	0
Maximum	174
Zeros	476
Zeros (%)	12.8%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.060813
Coefficient of variation (CV)	0.74756183
Kurtosis	-0.86907689
Mean	70.978495
Median Absolute Deviation (MAD)	37
Skewness	0.47044229
Sum	264040
Variance	2815.4499
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	476	12.8%
49	350	9.4%
174	195	5.2%
44	61	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
15	45	1.2%
42	45	1.2%
Other values (151)	2339	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	476	12.8%
5	6	0.2%
6	6	0.2%
7	42	1.1%
8	31	0.8%
9	10	0.3%
12	7	0.2%
13	11	0.3%
14	12	0.3%
15	45	1.2%

Value	Count	Frequency (%)
174	195	5.2%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

nearbyLoc_score
Real number (ℝ)

Distinct	75
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.566129

Minimum	0
Maximum	98
Zeros	199
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	58.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	39
median	55
Q3	64
95-th percentile	81
Maximum	98
Range	98
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	21.204264
Coefficient of variation (CV)	0.41933729
Kurtosis	-5.4776659 × 10^-5
Mean	50.566129
Median Absolute Deviation (MAD)	12
Skewness	-0.72661393
Sum	188106
Variance	449.62079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	300	8.1%
0	199	5.3%
63	185	5.0%
50	172	4.6%
62	147	4.0%
49	131	3.5%
55	117	3.1%
64	108	2.9%
25	93	2.5%
58	83	2.2%
Other values (65)	2185	58.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	199	5.3%
8	44	1.2%
9	17	0.5%
16	70	1.9%
17	25	0.7%
18	43	1.2%
21	3	0.1%
23	19	0.5%
24	48	1.3%
25	93	2.5%

Value	Count	Frequency (%)
98	3	0.1%
90	16	0.4%
89	10	0.3%
88	20	0.5%
87	13	0.3%
85	15	0.4%
84	8	0.2%
83	22	0.6%
82	42	1.1%
81	65	1.7%

Auto

Heatmap
Table

	price_cr	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	luxury_score	nearbyLoc_score	property_type	balcony	facing	agePossession	study room	servant room	store room	pooja room	others	furnishing_type
price_cr	1.000	0.743	0.742	0.680	0.720	0.003	0.773	0.634	0.611	0.217	0.301	0.537	0.137	0.021	0.102	0.245	0.369	0.301	0.333	0.035	0.179
price_per_sqft	0.743	1.000	0.202	0.417	0.411	-0.125	0.287	0.153	0.134	0.055	0.313	0.203	0.031	0.000	0.058	0.031	0.038	0.000	0.037	0.031	0.000
area	0.742	0.202	1.000	0.619	0.684	0.119	0.948	0.863	0.801	0.262	0.136	0.027	0.009	0.022	0.000	0.018	0.015	0.038	0.037	0.042	0.043
bedRoom	0.680	0.417	0.619	1.000	0.860	-0.101	0.800	0.397	0.566	0.057	0.159	0.617	0.114	0.038	0.117	0.164	0.141	0.204	0.271	0.070	0.138
bathroom	0.720	0.411	0.684	0.860	1.000	-0.001	0.819	0.487	0.595	0.183	0.193	0.440	0.162	0.035	0.079	0.162	0.311	0.174	0.266	0.071	0.164
floorNum	0.003	-0.125	0.119	-0.101	-0.001	1.000	0.154	0.083	0.161	0.240	-0.058	0.487	0.080	0.000	0.127	0.077	0.085	0.112	0.103	0.033	0.018
super_built_up_area	0.773	0.287	0.948	0.800	0.819	0.154	1.000	0.926	0.894	0.224	0.121	1.000	0.307	0.000	0.086	0.122	0.584	0.047	0.157	0.086	0.134
built_up_area	0.634	0.153	0.863	0.397	0.487	0.083	0.926	1.000	0.968	0.286	0.100	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.088
carpet_area	0.611	0.134	0.801	0.566	0.595	0.161	0.894	0.968	1.000	0.242	0.114	0.000	0.024	0.000	0.000	0.004	0.000	0.000	0.000	0.015	0.000
luxury_score	0.217	0.055	0.262	0.057	0.183	0.240	0.224	0.286	0.242	1.000	0.125	0.334	0.224	0.065	0.256	0.186	0.348	0.226	0.191	0.175	0.247
nearbyLoc_score	0.301	0.313	0.136	0.159	0.193	-0.058	0.121	0.100	0.114	0.125	1.000	0.258	0.169	0.055	0.205	0.135	0.201	0.131	0.126	0.063	0.136
property_type	0.537	0.203	0.027	0.617	0.440	0.487	1.000	0.000	0.000	0.334	0.258	1.000	0.211	0.098	0.387	0.127	0.063	0.242	0.253	0.027	0.079
balcony	0.137	0.031	0.009	0.114	0.162	0.080	0.307	0.000	0.024	0.224	0.169	0.211	1.000	0.022	0.271	0.185	0.442	0.144	0.195	0.080	0.180
facing	0.021	0.000	0.022	0.038	0.035	0.000	0.000	1.000	0.000	0.065	0.055	0.098	0.022	1.000	0.092	0.000	0.033	0.036	0.025	0.000	0.049
agePossession	0.102	0.058	0.000	0.117	0.079	0.127	0.086	0.000	0.000	0.256	0.205	0.387	0.271	0.092	1.000	0.143	0.287	0.147	0.188	0.111	0.215
study room	0.245	0.031	0.018	0.164	0.162	0.077	0.122	0.000	0.004	0.186	0.135	0.127	0.185	0.000	0.143	1.000	0.187	0.223	0.316	0.033	0.147
servant room	0.369	0.038	0.015	0.141	0.311	0.085	0.584	0.000	0.000	0.348	0.201	0.063	0.442	0.033	0.287	0.187	1.000	0.159	0.253	0.000	0.273
store room	0.301	0.000	0.038	0.204	0.174	0.112	0.047	0.000	0.000	0.226	0.131	0.242	0.144	0.036	0.147	0.223	0.159	1.000	0.302	0.107	0.156
pooja room	0.333	0.037	0.037	0.271	0.266	0.103	0.157	0.000	0.000	0.191	0.126	0.253	0.195	0.025	0.188	0.316	0.253	0.302	1.000	0.034	0.219
others	0.035	0.031	0.042	0.070	0.071	0.033	0.086	0.000	0.015	0.175	0.063	0.027	0.080	0.000	0.111	0.033	0.000	0.107	0.034	1.000	0.057
furnishing_type	0.179	0.000	0.043	0.138	0.164	0.018	0.134	0.088	0.000	0.247	0.136	0.079	0.180	0.049	0.215	0.147	0.273	0.156	0.219	0.057	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price_cr	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	pooja room	others	furnishing_type	luxury_score	nearbyLoc_score
0	flat	experion the heartsong	sector 108	3.00	18392.0	1631.0	Super Built up area 2779(258.18 sq.m.)Built Up area: 2204.25 sq.ft. (204.78 sq.m.)Carpet area: 1631.07 sq.ft. (151.53 sq.m.)	4	5	3+	2.0	South-West	Relatively New	2779.0	2204.25	1631.07	1	0	0	1	149	58
1	flat	tulip violet	sector 69	1.37	8675.0	1579.0	Super Built up area 1578(146.6 sq.m.)Carpet area: 1538 sq.ft. (142.88 sq.m.)	3	3	1	12.0	East	Relatively New	1578.0	NaN	1538.00	0	1	0	0	95	61
2	flat	shree vardhman victoria	sector 70	1.62	13953.0	1161.0	Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	3	3	3	9.0	North	Relatively New	1950.0	NaN	1161.00	1	0	0	0	96	36
3	flat	sare green parc phase 3	sector 92	0.95	4856.0	1956.0	Super Built up area 1956(181.72 sq.m.)	4	3	3	4.0	North	Moderately Old	1956.0	NaN	NaN	0	0	0	0	67	49
4	flat	mvn athens	sohna road	0.25	5198.0	481.0	Built Up area: 481 (44.69 sq.m.)	2	2	0	0.0	NaN	Relatively New	NaN	481.00	NaN	0	0	0	0	37	29
5	flat	dlf the belaire	sector 54	10.00	24557.0	4072.0	Super Built up area 4072(378.3 sq.m.)Built Up area: 3000 sq.ft. (278.71 sq.m.)Carpet area: 2800 sq.ft. (260.13 sq.m.)	4	5	3+	17.0	North	Moderately Old	4072.0	3000.00	2800.00	1	0	0	1	167	57
6	flat	umang winter hills	sector 77	0.92	5049.0	1822.0	Super Built up area 1822(169.27 sq.m.)Carpet area: 1400 sq.ft. (130.06 sq.m.)	3	3	3	17.0	North-East	Relatively New	1822.0	NaN	1400.00	0	0	1	2	49	64
7	house	independent	sector 12	2.75	12343.0	2228.0	Built Up area: 2228 (206.99 sq.m.)	6	6	2	2.0	NaN	Undefined	NaN	2228.00	NaN	0	0	0	0	0	0
8	flat	orchid petals	sector 49	4.21	11835.0	3557.0	Super Built up area 3557(330.46 sq.m.)	5	6	3+	14.0	South-East	Relatively New	3557.0	NaN	NaN	1	1	0	0	35	52
9	house	independent	sector 11	0.95	7308.0	1300.0	Built Up area: 1300 (120.77 sq.m.)	5	3	0	1.0	NaN	Undefined	NaN	1300.00	NaN	0	0	0	0	0	0

	property_type	society	sector	price_cr	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	others	furnishing_type	luxury_score	nearbyLoc_score
3831	house	independent	sector 28	0.45	90000.0	50.0	Built Up area: 50 (4.65 sq.m.)	5	3	0	1.0	NaN	Undefined	NaN	50.0	NaN	0	0	0	0	0	0	0
3832	flat	supertech araville	sector 79	1.35	9000.0	1500.0	Super Built up area 1530(142.14 sq.m.)Built Up area: 1350 sq.ft. (125.42 sq.m.)Carpet area: 1200 sq.ft. (111.48 sq.m.)	2	2	3	6.0	East	New Property	1530.00	1350.0	1200.00	1	0	0	1	2	88	8
3833	flat	paras dews	sector 106	1.20	11605.0	1034.0	Super Built up area 1665(154.68 sq.m.)Built Up area: 1145 sq.ft. (106.37 sq.m.)Carpet area: 1034 sq.ft. (96.06 sq.m.)	3	3	3	12.0	North-West	Relatively New	1665.00	1145.0	1034.00	1	0	0	0	0	158	73
3834	flat	signature global solera	sector 107	0.36	5980.0	602.0	Super Built up area 602(55.93 sq.m.)Built Up area: 598 sq.ft. (55.56 sq.m.)Carpet area: 546 sq.ft. (50.73 sq.m.)	2	2	1	7.0	North-West	Relatively New	602.00	598.0	546.00	0	0	0	1	0	49	68
3835	flat	godrej habitat	sector 3	1.10	10410.0	1057.0	Super Built up area 1056.58(98.16 sq.m.)	2	2	2	14.0	NaN	Under Construction	1056.58	NaN	NaN	0	0	0	0	0	60	81
3836	house	project mianwali colony	sector 12	1.70	9444.0	1800.0	Carpet area: 1800 (167.23 sq.m.)	1	1	2	1.0	NaN	Undefined	NaN	NaN	1800.00	0	0	0	0	0	0	61
3837	flat	ats kocoon	sector 109	1.60	9169.0	1745.0	Super Built up area 1745(162.12 sq.m.)Built Up area: 1550 sq.ft. (144 sq.m.)	3	3	3	10.0	North	Relatively New	1745.00	1550.0	NaN	0	0	0	0	0	86	55
3838	flat	orris aster court premier	sector 85	1.50	5859.0	2560.0	Super Built up area 2560(237.83 sq.m.)Built Up area: 2017 sq.ft. (187.39 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)	4	5	3+	6.0	West	New Property	2560.00	2017.0	1800.00	0	1	0	0	2	28	53
3839	flat	ss the leaf	sector 85	1.09	6666.0	1635.0	Super Built up area 1640(152.36 sq.m.)Built Up area: 1638 sq.ft. (152.18 sq.m.)Carpet area: 1635 sq.ft. (151.9 sq.m.)	2	2	3	9.0	South-West	Relatively New	1640.00	1638.0	1635.00	0	0	1	0	0	174	63
3840	flat	signature the roselia	sector 95	0.41	6194.0	662.0	Built Up area: 670 (62.25 sq.m.)Carpet area: 569.25 sq.ft. (52.89 sq.m.)	2	2	2	12.0	North	New Property	NaN	670.0	569.25	1	0	0	0	2	90	40

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